{"id":"W2130186016","doi":"10.1155/2015/504861","title":"The Automatic Drilling System of 6R-2P Mining Drill Jumbos","year":2014,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"Fundamental Research Funds for the Central Universities","keywords":"Drill; Kinematics; Automation; Control engineering; Drill pipe; Drilling; Inverse kinematics; Engineering; Robot; Joint (building); Computer science; Degrees of freedom (physics and chemistry); Revolute joint; Key (lock); Control system; Control theory (sociology); Control (management); Artificial intelligence; Mechanical engineering; Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005478315,0.0002104124,0.0003508929,0.00008599542,0.00005500677,0.00002568549,0.0003131496,0.0001012298,0.00000337574],"category_scores_gemma":[0.0002262187,0.0001735019,0.00007654178,0.0002538639,0.00001971653,0.0001639398,0.00005265914,0.0002146967,0.000005507142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009453576,"about_ca_system_score_gemma":0.000006514503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001765336,"about_ca_topic_score_gemma":0.000008462012,"domain_scores_codex":[0.9985714,0.00002357633,0.0005711318,0.0001869534,0.0002344219,0.0004125315],"domain_scores_gemma":[0.998946,0.0005389208,0.00006288188,0.0003449756,0.00002553366,0.00008176616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001248166,0.000003457719,0.000007453343,0.0003076626,0.0000097855,0.000001905763,0.00003745197,0.8331047,0.002014741,0.1515325,0.000001564662,0.01297748],"study_design_scores_gemma":[0.0002034212,0.00003113316,0.00001588027,0.0004194871,0.0000107799,0.000006577412,0.0001303819,0.9961287,0.001536498,0.0008491682,0.0004737888,0.0001941368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527095,0.001021639,0.9810869,0.0000107019,0.001375505,0.0001515618,0.000001294352,0.0004256337,0.0006558289],"genre_scores_gemma":[0.8674254,0.0002466098,0.1321347,0.000005420267,0.00009158177,0.00003155354,0.00000137083,0.00005521303,0.000008163573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8521545,"threshold_uncertainty_score":0.7075202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002975441756888722,"score_gpt":0.1890101979637942,"score_spread":0.1860347562069055,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}